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scatterElements

Table Of Contents

Description

The scatterElements plugin implements the scatter operation described in (https://github.com/rusty1s/pytorch_scatter), in compliance with the ONNX specification for ScatterElements

Note: ScatterElements with reduce="none" is implemented in TRT core, not this plugin.

Structure

This plugin has the 2 versions. The latest is plugin creator class ScatterElementsPluginV3Creator and the plugin class ScatterElementsPluginV3 which extends IPluginV3. (name: ScatterElements, version: 2) The legacy plugin that will be deprecated, is plugin creator class ScatterElementsPluginV2Creator and the plugin class ScatterElementsPluginV2, which extends IPluginV2DynamicExt (name: ScatterElements, version: 1).

The ScatterElements plugin consumes the following inputs:

  1. data - T: Tensor of rank r >= 1.
  2. indices - Tind: Tensor of int64 indices, of r >= 1 (same rank as input). All index values are expected to be within bounds [-s, s-1] along axis of size s. It is an error if any of the index values are out of bounds.
  3. updates - T: Tensor of rank r >=1 (same rank and shape as indices)

The ScatterElements plugin produces the following output:

  1. output - T: Tensor, same shape as data.

Parameters

The ScatterElements plugin has the following parameters:

Type Parameter Description
int axis Which axis to scatter on. Default is 0. Negative value means counting dimensions from the back. Accepted range is [-r, r-1] where r = rank(data).
char reduction Type of reduction to apply: add, mul, max, min. ‘add’: reduction using the addition operation. ‘mul’: reduction using the multiplication operation.‘max’: reduction using the maximum operation.‘min’: reduction using the minimum operation.

The following resources provide a deeper understanding of the scatterElements plugin:

License

For terms and conditions for use, reproduction, and distribution, see the TensorRT Software License Agreement documentation.

Changelog

  • July 2024: Version 2 of the plugin migrated to IPluginV3 interface design. The legacy plugin (version 1) using IPluginV2DynamicExt interface is deprecated.
  • Oct 2023: This is the first release of this README.md file.

Known issues

  • Types T=BFLOAT16 and T=INT8 are currently not supported.
  • ONNX spec allows Tind=int32 : only INT64 is supported by this plugin